Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_113")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_113") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_113", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb14855f42a5ab2db47440e330371fc4cd45e3d5208c5412f7256da7dc909894
- Size of remote file:
- 5.78 kB
- SHA256:
- 3042369bbe3951d178da6304389f53e3d12b4fe28372071cac5b762e6166cb68
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.